Patents by Inventor Nripesh Parajuli

Nripesh Parajuli has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240156430
    Abstract: Circuitless heart rhythm determination can include capturing a video clip of one or more image frames of a target organ through an ultrasound imaging device and submitting the frames to a classifier that has been trained with an annotated set of images, each of a corresponding heart muscle captured at a specified phase of a heart rhythm with a ground truth indication of the specified phase of the heart rhythm drawn from a separately recorded cycle graph of an electrical signal measured over time for the corresponding heart muscle. In response to the submission, a classification can be received of different portions of the submitted frames according to corresponding phases of the heart rhythm. Finally, a contemporaneous phase of the heart rhythm can be determined in the device without sensing electrical signals by way of a closed-loop sensor circuit affixed proximately to the target heart muscle.
    Type: Application
    Filed: November 16, 2023
    Publication date: May 16, 2024
    Inventors: Ha Hong, Nicolas Poilvert, Kilian Koepsell, Nripesh Parajuli, Michael G. Cannon
  • Patent number: 11844654
    Abstract: An ultrasound guidance dynamic progression method includes selecting a predetermined ultrasound diagnostic workflow in memory of an ultrasound diagnostic computing system, the workflow including a sequence of views of a target organ. The method further includes selecting a first view in the sequence and presenting guidance in a display of the computing system for the first view, for instance visual, audible or haptic feedback. The method yet further includes acquiring imagery in the computing system in association with the first view, and detecting an anomalous feature of the acquired imagery. Finally, the method includes selecting a different view in the sequence as a substitute for a next one of the views in the sequence in response to having detected the anomalous feature, and further presenting different guidance in the display for the different view in lieu of guidance for the next one of the views.
    Type: Grant
    Filed: August 19, 2019
    Date of Patent: December 19, 2023
    Assignee: Caption Health, Inc.
    Inventors: Charles Cadieu, Michael G. Cannon, Ali Chaudhry, Ha Hong, Kilian Koepsell, Nripesh Parajuli, Nicolas Poilvert
  • Patent number: 11497475
    Abstract: Embodiments of the present invention provide a method, system and computer program product for ultrasound image acquisition optimization according to different respiration modes. A method for ultrasound image acquisition optimization according to different respiration modes includes acquiring by an ultrasound imaging device, an ultrasound image of a target organ. The method further includes comparing attributes of the acquired ultrasound image to association data in a data store of associations associating attributes of previously acquired ultrasound imagery of different images of the target organ with different modes of respiration. Finally, the method includes determining from the comparison, a mode of respiration evident from the acquired ultrasound image and presenting the determined mode in the ultrasound imaging device.
    Type: Grant
    Filed: January 31, 2020
    Date of Patent: November 15, 2022
    Assignee: Caption Health, Inc.
    Inventors: Michael G. Cannon, Nicolas Poilvert, Charles Cadieu, Ha Hong, Kilian Koepsell, Ali Chaudhry, Nripesh Parajuli
  • Patent number: 11357435
    Abstract: An automatic extraction of disease-specific features from Doppler images to help diagnose valvular diseases is provided. The method includes the steps of obtaining a raw Doppler image from a series of images of an echocardiogram, isolating a region of interest from the raw Doppler image, the region of interest including a Doppler image and an ECG signal, and depicting at least one heart cycle, determining a velocity envelope of the Doppler image in the region of interest, extracting the ECG signal to synchronize the ECG signal with the Doppler image over the at least one heart cycle, within the region of interest, calculating a value of a clinical feature based on the extracted ECG signal synchronized with the velocity envelope, and comparing the value of the clinical feature with clinical guidelines associated with the clinical feature to determine a diagnosis of a disease.
    Type: Grant
    Filed: May 15, 2019
    Date of Patent: June 14, 2022
    Assignee: International Business Machines Corporation
    Inventors: David J. Beymer, Mehdi Moradi, Mohammadreza Negahdar, Nripesh Parajuli, Tanveer F. Syeda-Mahmood
  • Publication number: 20220104790
    Abstract: The continuous and dynamic computation of ejection fraction (EF) includes training a neural network with different sets of cardiac imaging data acquired of a ventricle for different hearts and a known EF for each of the sets and then loading the trained neural network into memory of a computer. Afterwards, contemporaneous sets of imaging data of a ventricle of a heart are continuously acquired according to a specified view. For each corresponding set of imaging data, an image quality value may then be computed, and the corresponding set of imaging data may be provided to the neural network. The neural network, in response, provides, as output, an EF determination output without tracing a ventricle boundary of the heart. Thereafter, both the computed image quality value and the EF determination output may be displayed in a display of the computer.
    Type: Application
    Filed: October 2, 2020
    Publication date: April 7, 2022
    Inventors: Charles Cadieu, Ha Hong, Kilian Koepsell, Ali Chaudhry, Nicolas Poilvert, Michael G. Cannon, Nripesh Parajuli
  • Publication number: 20210236094
    Abstract: Embodiments of the present invention provide a method, system and computer program product for ultrasound image acquisition optimization according to different respiration modes. A method for ultrasound image acquisition optimization according to different respiration modes includes acquiring by an ultrasound imaging device, an ultrasound image of a target organ. The method further includes comparing attributes of the acquired ultrasound image to association data in a data store of associations associating attributes of previously acquired ultrasound imagery of different images of the target organ with different modes of respiration. Finally, the method includes determining from the comparison, a mode of respiration evident from the acquired ultrasound image and presenting the determined mode in the ultrasound imaging device.
    Type: Application
    Filed: January 31, 2020
    Publication date: August 5, 2021
    Inventors: Michael G. Cannon, Nicolas Poilvert, Charles Cadieu, Ha Hong, Kilian Koepsell, Ali Chaudhry, Nripesh Parajuli
  • Publication number: 20210052253
    Abstract: An ultrasound guidance dynamic progression method includes selecting a predetermined ultrasound diagnostic workflow in memory of an ultrasound diagnostic computing system, the workflow including a sequence of views of a target organ. The method further includes selecting a first view in the sequence and presenting guidance in a display of the computing system for the first view, for instance visual, audible or haptic feedback. The method yet further includes acquiring imagery in the computing system in association with the first view, and detecting an anomalous feature of the acquired imagery. Finally, the method includes selecting a different view in the sequence as a substitute for a next one of the views in the sequence in response to having detected the anomalous feature, and further presenting different guidance in the display for the different view in lieu of guidance for the next one of the views.
    Type: Application
    Filed: August 19, 2019
    Publication date: February 25, 2021
    Inventors: Charles Cadieu, Michael G. Cannon, Ali Chaudhry, Ha Hong, Kilian Koepsell, Nripesh Parajuli, Nicolas Poilvert
  • Publication number: 20210052255
    Abstract: An ultrasound guidance dynamic mode switching method includes selecting a predetermined ultrasound diagnostic procedure in memory of an ultrasound diagnostic computing system and identifying an operating mode of the system for a first sequence of views stored in the memory as a workflow in correspondence to the selected procedure. The method additionally includes placing the system in the identified operating mode and acquiring imagery of a target organ in association with the views of the first sequence of the workflow. Finally, the method includes detecting in the acquired imagery, a feature of the target organ mapped to a different operating mode, and in response to the detection, displaying a recommendation in a display to change operating modes, placing the system into the different operating mode, and acquiring additional imagery of the target organ utilizing the system in association with a different sequence of additional views of a different workflow.
    Type: Application
    Filed: August 19, 2019
    Publication date: February 25, 2021
    Inventors: Charles Cadieu, Michael G. Cannon, Ali Chaudhry, Ha Hong, Kilian Koepsell, Nripesh Parajuli, Nicolas Poilvert
  • Publication number: 20200245970
    Abstract: A method for prescriptively guiding an operator of an ultrasound imaging probe includes acquiring a sequence of image clips of a target organ utilizing an ultrasound imaging probe, determining a particular view of the target organ expressed by the acquired image clips and assessing a quality of each of the acquired image clips in respect to the particular view. On condition that the assessed quality falls below a pre-determined satisfactory quality for the particular view, a prescriptive movement of the probe is computed that has been pre-determined to produce quality improvement of a subsequently acquired image clip of the target organ for the particular view. Then, responsive to determining that the prescriptive movement has been computed a threshold number of times in connection with the sequence, the prescriptive movement is displayed concurrently with a display of subsequently acquired image clips of the target organ.
    Type: Application
    Filed: January 31, 2019
    Publication date: August 6, 2020
    Inventors: Charles Cadieu, Ali Chaudhry, Sara Guttas, Ha Hong, Ching Hsieh, Kilian Koepsell, Nripesh Parajuli, Nicolas Poilvert
  • Publication number: 20190261880
    Abstract: An automatic extraction of disease-specific features from Doppler images to help diagnose valvular diseases is provided. The method includes the steps of obtaining a raw Doppler image from a series of images of an echocardiogram, isolating a region of interest from the raw Doppler image, the region of interest including a Doppler image and an ECG signal, and depicting at least one heart cycle, determining a velocity envelope of the Doppler image in the region of interest, extracting the ECG signal to synchronize the ECG signal with the Doppler image over the at least one heart cycle, within the region of interest, calculating a value of a clinical feature based on the extracted ECG signal synchronized with the velocity envelope, and comparing the value of the clinical feature with clinical guidelines associated with the clinical feature to determine a diagnosis of a disease.
    Type: Application
    Filed: May 15, 2019
    Publication date: August 29, 2019
    Inventors: David J. Beymer, Mehdi Moradi, Mohammadreza Negahdar, Nripesh Parajuli, Tanveer F. Syeda-Mahmood
  • Patent number: 10362949
    Abstract: An automatic extraction of disease-specific features from Doppler images to help diagnose valvular diseases is provided. The method includes the steps of obtaining a raw Doppler image from a series of images of an echocardiogram, isolating a region of interest from the raw Doppler image, the region of interest including a Doppler image and an ECG signal, and depicting at least one heart cycle, determining a velocity envelope of the Doppler image in the region of interest, extracting the ECG signal to synchronize the ECG signal with the Doppler age over the at least one heart cycle, within the region of interest, calculating a value of a clinical feature based on the extracted ECG signal synchronized with the velocity envelope, and comparing the value of the clinical feature with clinical guidelines associated with the clinical feature to determine a diagnosis of a disease.
    Type: Grant
    Filed: October 17, 2016
    Date of Patent: July 30, 2019
    Assignee: International Business Machines Corporation
    Inventors: David J. Beymer, Mehdi Moradi, Mohammadreza Negahdar, Nripesh Parajuli, Tanveer F. Syeda-Mahmood
  • Publication number: 20180103914
    Abstract: An automatic extraction of disease-specific features from Doppler images to help diagnose valvular diseases is provided. The method includes the steps of obtaining a raw Doppler image from a series of images of an echocardiogram, isolating a region of interest from the raw Doppler image, the region of interest including a Doppler image and an ECG signal, and depicting at least one heart cycle, determining a velocity envelope of the Doppler image in the region of interest, extracting the ECG signal to synchronize the ECG signal with the Doppler age over the at least one heart cycle, within the region of interest, calculating a value of a clinical feature based on the extracted ECG signal synchronized with the velocity envelope, and comparing the value of the clinical feature with clinical guidelines associated with the clinical feature to determine a diagnosis of a disease.
    Type: Application
    Filed: October 17, 2016
    Publication date: April 19, 2018
    Inventors: David J. Beymer, Mehdi Moradi, Mohammadreza Negahdar, Nripesh Parajuli, Tanveer F. Syeda-Mahmood